renamed to app.py

app.py

@@ -0,0 +1,136 @@
+import streamlit as st
+import speech_recognition as sr
+from openai import OpenAI
+
+# Initialize session state for chat visibility
+if "chat_started" not in st.session_state:
+    st.session_state.chat_started = False
+
+if "chat_history" not in st.session_state:
+    st.session_state.chat_history = []
+if "feedback" not in st.session_state:
+    st.session_state.feedback = {}
+
+st.set_page_config(page_title="🍽️ Food Chatbot", page_icon="🍽️", layout="wide")
+
+# 🎯 Welcome Screen (Only Show if Chat Not Started)
+if not st.session_state.chat_started:
+    st.title("🤖 Welcome to the Foodie Chatbot!")
+    st.write("Your go-to chatbot for all things food: recipes, restaurant recommendations, and more!")
+
+    st.subheader("✨ Features")
+    st.markdown("""
+    - 🍲 **Get Recipes**: Find delicious recipes based on ingredients or dish names.
+    - 🛒 **Where to Buy**: Discover where you can buy specific food items.
+    - 🍽️ **Restaurant Recommendations**: Find the best restaurants serving your favorite dishes.
+    - 🎙️ **Voice Input**: Speak your query instead of typing.
+    - 📜 **Chat History**: Track your past questions and answers.
+    """)
+
+    if st.button("🚀 Start Chat"):
+        st.session_state.chat_started = True
+        st.rerun()
+    st.stop()
+
+st.title("🍽️ Foodie Chatbot")
+
+# 🎤 Function to capture voice input
+def get_voice_input():
+    recognizer = sr.Recognizer()
+    with sr.Microphone() as source:
+        st.info("🎤 Listening... Speak now!")
+        try:
+            audio = recognizer.listen(source, timeout=5)
+            text = recognizer.recognize_google(audio)
+            return text
+        except sr.UnknownValueError:
+            st.error("😕 Could not understand the audio.")
+        except sr.RequestError:
+            st.error("🔌 Speech Recognition service unavailable.")
+    return ""
+
+# 🎤 Voice Input Button
+if st.button("🎤 Speak Query"):
+    voice_text = get_voice_input()
+    if voice_text:
+        st.session_state["user_prompt"] = voice_text
+    else:
+        st.warning("No voice input detected.")
+
+# 📝 User Input Text Area
+user_prompt = st.text_area("Enter Any Food:", st.session_state.get("user_prompt", ""))
+
+# ⚙️ Sidebar Settings
+st.sidebar.header("⚙️ Settings")
+output_format = st.sidebar.selectbox("Select Query Type", ["Recipe", "Where to Buy", "Best Restaurant"])
+max_tokens = st.sidebar.slider("Response Length (Max Tokens)", 100, 1024, 500)
+creative_mode = st.sidebar.checkbox("Enable Creative Mode", value=True)
+
+# 📜 Chat History in Sidebar
+st.sidebar.header("📜 Chat History")
+if st.sidebar.button("🗑️ Clear Chat History"):
+    st.session_state.chat_history = []
+    st.session_state.feedback = {}
+
+with st.sidebar.expander("🔍 View Chat History", expanded=False):
+    for i, chat in enumerate(reversed(st.session_state.chat_history)):
+        st.markdown(f"**User:** {chat['user']}")
+        bot_preview = chat['bot'][:200] + ("..." if len(chat['bot']) > 200 else "")
+        st.markdown(f"**Bot:** {bot_preview}")
+
+        if len(chat['bot']) > 200:
+            if st.toggle(f"📖 Show Full Response ({i+1})", key=f"toggle_{i}"):
+                st.markdown(chat['bot'])
+
+        feedback_value = st.session_state.feedback.get(chat['user'], "No Feedback Given")
+        st.markdown(f"**Feedback:** {feedback_value}")
+        st.markdown("---")
+
+response_container = st.empty()
+feedback_container = st.empty()
+
+# 🚀 Generate Response
+if st.button("Generate Response"):
+    if user_prompt.strip():
+        client = OpenAI(
+            base_url="https://integrate.api.nvidia.com/v1",
+            api_key="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"
+        )
+
+        messages = [{"role": "user", "content": f"Provide information about {user_prompt} as a {output_format.lower()}"}]
+
+        try:
+            completion = client.chat.completions.create(
+                model="tiiuae/falcon3-7b-instruct",
+                messages=messages,
+                top_p=0.9 if creative_mode else 0.7,
+                max_tokens=max_tokens,
+                stream=True
+            )
+
+            response_text = ""
+            progress_text = st.empty()
+
+            for chunk in completion:
+                if chunk.choices[0].delta.content is not None:
+                    response_text += chunk.choices[0].delta.content
+                    progress_text.markdown(f"### Generating... ⏳\n{response_text}")
+
+            progress_text.empty()
+            response_container.markdown(f"### Generated Response\n{response_text}")
+
+            chat_entry = {"user": user_prompt, "bot": response_text}
+            st.session_state.chat_history.append(chat_entry)
+
+            feedback = feedback_container.radio(
+                "Was this response helpful?",
+                ["👍 Yes", "👎 No"],
+                index=None,
+                key=f"feedback_{len(st.session_state.chat_history)}",
+                horizontal=True
+            )
+
+            st.session_state.feedback[user_prompt] = feedback
+
+        except Exception as e:
+            st.error(f"❌ Error: {e}")