Update Gradio_UI.py
Browse files- Gradio_UI.py +20 -27
Gradio_UI.py
CHANGED
@@ -167,15 +167,14 @@ def stream_to_gradio(
|
|
167 |
|
168 |
|
169 |
class GradioUI:
|
170 |
-
def __init__(self, agent: MultiStepAgent, file_upload_folder: str | None = None):
|
171 |
if not _is_package_available("gradio"):
|
172 |
raise ModuleNotFoundError("Install 'gradio': `pip install 'smolagents[gradio]'`")
|
173 |
self.agent = agent
|
174 |
-
self.file_upload_folder = None
|
175 |
self._latest_file_path_for_download = None
|
176 |
|
177 |
-
def _get_created_document_path(self):
|
178 |
-
"""Checks agent logs for a path from create_document and returns it if valid, else None."""
|
179 |
if hasattr(self.agent, 'interaction_logs') and self.agent.interaction_logs:
|
180 |
print(f"DEBUG Gradio UI: Checking {len(self.agent.interaction_logs)} interaction log entries for created document paths.")
|
181 |
for log_entry in reversed(self.agent.interaction_logs):
|
@@ -186,7 +185,8 @@ class GradioUI:
|
|
186 |
is_python_interpreter_step = any(tc.name == "python_interpreter" for tc in tool_calls)
|
187 |
|
188 |
if is_python_interpreter_step and observations and isinstance(observations, str):
|
189 |
-
|
|
|
190 |
|
191 |
match = re.search(
|
192 |
r"(?:Document created \((?:docx|pdf|txt)\):|Document converted to PDF:)\s*(/tmp/[a-zA-Z0-9_]+/generated_document\.(?:docx|pdf|txt))",
|
@@ -200,49 +200,46 @@ class GradioUI:
|
|
200 |
normalized_path = os.path.normpath(extracted_path)
|
201 |
if os.path.exists(normalized_path):
|
202 |
print(f"DEBUG Gradio UI: Validated path for download: {normalized_path}")
|
203 |
-
return normalized_path
|
204 |
else:
|
205 |
print(f"DEBUG Gradio UI: Path from create_document output ('{normalized_path}') does not exist.")
|
206 |
print("DEBUG Gradio UI: No valid generated document path found in agent logs.")
|
207 |
-
return None
|
208 |
|
209 |
def interact_with_agent(self, prompt_text: str, current_chat_history: list):
|
210 |
print(f"DEBUG Gradio: interact_with_agent called with prompt: '{prompt_text}'")
|
211 |
|
212 |
updated_chat_history = current_chat_history + [{"role": "user", "content": prompt_text}]
|
213 |
|
214 |
-
|
215 |
-
yield updated_chat_history, gr.update(value=None, visible=False)
|
216 |
|
217 |
agent_responses_for_history = []
|
218 |
for msg_dict in stream_to_gradio(self.agent, task=prompt_text, reset_agent_memory=False):
|
219 |
agent_responses_for_history.append(msg_dict)
|
220 |
-
|
221 |
-
yield updated_chat_history + agent_responses_for_history, gr.update(value=None, visible=False)
|
222 |
|
223 |
final_chat_display_content = updated_chat_history + agent_responses_for_history
|
224 |
|
225 |
-
# After all agent messages are processed, check for a created document path
|
226 |
document_path_to_display = self._get_created_document_path()
|
227 |
|
228 |
if document_path_to_display:
|
229 |
print(f"DEBUG Gradio: Document found for display: {document_path_to_display}")
|
230 |
-
#
|
231 |
-
yield final_chat_display_content, gr.
|
232 |
label=os.path.basename(document_path_to_display),
|
233 |
visible=True)
|
234 |
else:
|
235 |
-
# Update chat, keep file component hidden
|
236 |
print(f"DEBUG Gradio: No document found for display.")
|
237 |
-
|
|
|
238 |
|
239 |
|
240 |
-
def log_user_message(self, text_input_value: str):
|
241 |
full_prompt = text_input_value
|
242 |
print(f"DEBUG Gradio: Prepared prompt for agent: {full_prompt[:300]}...")
|
243 |
return full_prompt, ""
|
244 |
|
245 |
-
# prepare_and_show_download_file
|
246 |
|
247 |
def launch(self, **kwargs):
|
248 |
with gr.Blocks(fill_height=True, theme=gr.themes.Soft(primary_hue=gr.themes.colors.blue)) as demo:
|
@@ -267,13 +264,12 @@ class GradioUI:
|
|
267 |
)
|
268 |
|
269 |
with gr.Column(scale=1):
|
270 |
-
#
|
271 |
-
|
272 |
-
gr.Markdown("### Generated Document") # Renamed title for clarity
|
273 |
file_download_display_component = gr.File(
|
274 |
label="Downloadable Document",
|
275 |
-
visible=False,
|
276 |
-
interactive=False
|
277 |
)
|
278 |
|
279 |
text_message_input.submit(
|
@@ -283,11 +279,8 @@ class GradioUI:
|
|
283 |
).then(
|
284 |
self.interact_with_agent,
|
285 |
[prepared_prompt_for_agent, chatbot_display],
|
286 |
-
# Outputs
|
287 |
-
[chatbot_display, file_download_display_component]
|
288 |
)
|
289 |
-
|
290 |
-
# No explicit download_action_button.click event needed anymore
|
291 |
|
292 |
demo.launch(debug=True, share=kwargs.get("share", False), **kwargs)
|
293 |
|
|
|
167 |
|
168 |
|
169 |
class GradioUI:
|
170 |
+
def __init__(self, agent: MultiStepAgent, file_upload_folder: str | None = None):
|
171 |
if not _is_package_available("gradio"):
|
172 |
raise ModuleNotFoundError("Install 'gradio': `pip install 'smolagents[gradio]'`")
|
173 |
self.agent = agent
|
174 |
+
self.file_upload_folder = None
|
175 |
self._latest_file_path_for_download = None
|
176 |
|
177 |
+
def _get_created_document_path(self):
|
|
|
178 |
if hasattr(self.agent, 'interaction_logs') and self.agent.interaction_logs:
|
179 |
print(f"DEBUG Gradio UI: Checking {len(self.agent.interaction_logs)} interaction log entries for created document paths.")
|
180 |
for log_entry in reversed(self.agent.interaction_logs):
|
|
|
185 |
is_python_interpreter_step = any(tc.name == "python_interpreter" for tc in tool_calls)
|
186 |
|
187 |
if is_python_interpreter_step and observations and isinstance(observations, str):
|
188 |
+
# CRITICAL DEBUG LINE: Print the exact observations string
|
189 |
+
print(f"DEBUG Gradio UI (_get_created_document_path): Python Interpreter Observations: '''{observations}'''")
|
190 |
|
191 |
match = re.search(
|
192 |
r"(?:Document created \((?:docx|pdf|txt)\):|Document converted to PDF:)\s*(/tmp/[a-zA-Z0-9_]+/generated_document\.(?:docx|pdf|txt))",
|
|
|
200 |
normalized_path = os.path.normpath(extracted_path)
|
201 |
if os.path.exists(normalized_path):
|
202 |
print(f"DEBUG Gradio UI: Validated path for download: {normalized_path}")
|
203 |
+
return normalized_path
|
204 |
else:
|
205 |
print(f"DEBUG Gradio UI: Path from create_document output ('{normalized_path}') does not exist.")
|
206 |
print("DEBUG Gradio UI: No valid generated document path found in agent logs.")
|
207 |
+
return None
|
208 |
|
209 |
def interact_with_agent(self, prompt_text: str, current_chat_history: list):
|
210 |
print(f"DEBUG Gradio: interact_with_agent called with prompt: '{prompt_text}'")
|
211 |
|
212 |
updated_chat_history = current_chat_history + [{"role": "user", "content": prompt_text}]
|
213 |
|
214 |
+
yield updated_chat_history, gr.update(value=None, visible=False) # For file_download_display_component
|
|
|
215 |
|
216 |
agent_responses_for_history = []
|
217 |
for msg_dict in stream_to_gradio(self.agent, task=prompt_text, reset_agent_memory=False):
|
218 |
agent_responses_for_history.append(msg_dict)
|
219 |
+
yield updated_chat_history + agent_responses_for_history, gr.update(value=None, visible=False) # For file_download_display_component
|
|
|
220 |
|
221 |
final_chat_display_content = updated_chat_history + agent_responses_for_history
|
222 |
|
|
|
223 |
document_path_to_display = self._get_created_document_path()
|
224 |
|
225 |
if document_path_to_display:
|
226 |
print(f"DEBUG Gradio: Document found for display: {document_path_to_display}")
|
227 |
+
# CORRECTED: Use gr.update() for the File component
|
228 |
+
yield final_chat_display_content, gr.update(value=document_path_to_display,
|
229 |
label=os.path.basename(document_path_to_display),
|
230 |
visible=True)
|
231 |
else:
|
|
|
232 |
print(f"DEBUG Gradio: No document found for display.")
|
233 |
+
# CORRECTED: Use gr.update() for the File component
|
234 |
+
yield final_chat_display_content, gr.update(value=None, visible=False)
|
235 |
|
236 |
|
237 |
+
def log_user_message(self, text_input_value: str):
|
238 |
full_prompt = text_input_value
|
239 |
print(f"DEBUG Gradio: Prepared prompt for agent: {full_prompt[:300]}...")
|
240 |
return full_prompt, ""
|
241 |
|
242 |
+
# prepare_and_show_download_file is not needed if we directly update the gr.File component
|
243 |
|
244 |
def launch(self, **kwargs):
|
245 |
with gr.Blocks(fill_height=True, theme=gr.themes.Soft(primary_hue=gr.themes.colors.blue)) as demo:
|
|
|
264 |
)
|
265 |
|
266 |
with gr.Column(scale=1):
|
267 |
+
# "Generated File" section directly shows the gr.File component
|
268 |
+
gr.Markdown("### Generated Document")
|
|
|
269 |
file_download_display_component = gr.File(
|
270 |
label="Downloadable Document",
|
271 |
+
visible=False,
|
272 |
+
interactive=False
|
273 |
)
|
274 |
|
275 |
text_message_input.submit(
|
|
|
279 |
).then(
|
280 |
self.interact_with_agent,
|
281 |
[prepared_prompt_for_agent, chatbot_display],
|
282 |
+
[chatbot_display, file_download_display_component] # Outputs update chatbot and file component
|
|
|
283 |
)
|
|
|
|
|
284 |
|
285 |
demo.launch(debug=True, share=kwargs.get("share", False), **kwargs)
|
286 |
|