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app.py

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+# from gpt_module import generate_response
+# from dalle_module import generate_image
+# from translation_module import translation_to_english
+# from tts_module import text_to_speech
+# from stt import transcribe_audio
+
+# def main():
+#     print("Welcome to the ChatGPT CLI application!")
+#     while True:
+#         user_input = input("Enter command: ")
+        
+#         if user_input.startswith('/imagine'):
+#             img = user_input.replace('/imagine', '').strip()
+#             print(generate_image(img))
+
+#         elif user_input.startswith('/chat'):
+#             prompt = user_input.replace('/chat', '').strip()
+#             print(generate_response(prompt))
+
+#         elif user_input.startswith('/translate'):
+#             tra = user_input.replace('/translate', '').strip()
+#             print(translation_to_english(tra))
+
+#         elif user_input.startswith('/voice'):
+#             text = user_input.replace('/voice', '').strip()
+#             print(text_to_speech(text))
+
+#         elif user_input.startswith('/transcribe'):
+#             print("Please upload the audio file.")
+#             audio_file = input("Enter the path to the audio file: ")
+#             print(transcribe_audio(audio_file))
+
+#         elif user_input.startswith('/help'):
+#             print_help()
+
+#         else:
+#             print("Unknown command. Type '/help' for a list of commands.")
+
+# def print_help():
+#     help_text = """
+#     👉 To generate an image, type '/imagine <prompt>'
+#     👉 To chat with the model, type '/chat <prompt>'
+#     👉 To translate text to English, type '/translate <text>'
+#     👉 For Text to Speech, type '/voice <some text>'
+#     👉 To transcribe audio to text, type '/transcribe' and follow the prompts
+#     👉 For help, type '/help'
+#     """
+#     print(help_text)
+
+# if __name__ == '__main__':
+#     main()
+
+
+
+
+import streamlit as st
+from gpt_module import generate_response
+from dalle_module import generate_image
+from translation_module import translation_to_english
+from tts_module import text_to_speech
+from stt import transcribe_audio
+import os
+
+def main():
+    
+    st.sidebar.title("Hey Rehan Assistant")
+    user_input = st.sidebar.selectbox("Select command:", ["/imagine", "/chat", "/translate", "/voice", "/transcribe", "/help"])
+
+    if user_input == "/imagine":
+        st.subheader('Prompt To Image generation', divider='rainbow')
+        prompt = st.text_input("Enter prompt To Generate Image:")
+        if st.button("Generate Image"):
+            st.image(generate_image(prompt))
+
+    elif user_input == "/chat":
+        st.subheader('Hey Rehan AI Assistant', divider='rainbow')
+        prompt = st.text_input("Ask anything You want to know")
+        if st.button("Chat"):
+            response = generate_response(prompt)
+            st.success(response)
+
+    elif user_input == "/translate":
+        st.subheader('Translate Into English', divider='rainbow')
+        audio_file = st.file_uploader("Upload Audio File", type=["mp3", "wav"])
+        if audio_file is not None:
+            # st.audio(uploaded_file, format='audio/wav')
+            if st.button("Translate to English"):
+                result = translation_to_english(audio_file)
+                st.success(result)
+
+
+
+    elif user_input == "/voice":
+        st.subheader('Text to Speech', divider='rainbow')
+        text = st.text_input("Enter text for Text to Speech:")
+        if st.button("Convert to Speech"):
+            audio_bytes = text_to_speech(text)
+            st.audio(audio_bytes, format='audio/wav')
+
+
+
+    elif user_input == "/transcribe":
+        st.subheader('Audio to Text Transcription', divider='rainbow')
+        uploaded_file = st.file_uploader("Upload audio file", type=["mp3", "wav"])
+        if uploaded_file is not None:
+            if st.button("Transcribe Audio"):
+                with open("temp_audio_file.mp3", "wb") as f:
+                    f.write(uploaded_file.getvalue())
+
+                    transcription = transcribe_audio("temp_audio_file.mp3")
+                    st.success(transcription)
+
+                    os.remove("temp_audio_file.mp3")
+
+    elif user_input == "/help":
+        print_help()
+
+def print_help():
+    help_text = """
+    👉 To generate an image, select '/imagine' and enter a prompt.
+    👉 To chat with the model, select '/chat' and enter a prompt.
+    👉 To translate text to English, select '/translate' and enter text.
+    👉 For Text to Speech, select '/voice' and enter some text.
+    👉 To transcribe audio to text, select '/transcribe' and upload the audio file.
+    👉 For help, select '/help'.
+    """
+    st.write(help_text)
+
+if __name__ == '__main__':
+    main()

dalle_module.py

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+from openai import OpenAI
+from dotenv import load_dotenv
+import os
+
+load_dotenv()
+
+client = OpenAI(api_key=os.getenv("openai_api_key"))
+
+
+def generate_image(img):
+    response = client.images.generate(
+    model="dall-e-3",
+    prompt=img,
+    n=1,
+    size="1024x1024"
+    )
+
+    return response.data[0].url
+
+
+
+

gpt_module.py

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+from openai import OpenAI
+from dotenv import load_dotenv
+import os 
+
+load_dotenv()
+
+
+client = OpenAI(api_key = os.getenv("openai_api_key"))
+
+
+
+
+
+def generate_response(prompt):
+    completion = client.chat.completions.create(
+    model="gpt-4-turbo",
+    messages=[
+    {"role": "system", "content": "You are a helpful assistant."},
+    {"role": "user", "content": prompt}
+  ]
+)
+    return completion.choices[0].message.content
+
+

stt.py

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+from openai import OpenAI
+from dotenv import load_dotenv
+import os
+
+load_dotenv()
+
+client = OpenAI(api_key=os.getenv("openai_api_key"))
+
+def transcribe_audio(audio_file):
+    with open(audio_file, "rb") as audio_file:
+        transcription = client.audio.transcriptions.create(
+            model="whisper-1",
+            file=audio_file,
+            response_format="text"
+        )
+        return transcription
+

translation_module.py

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+from openai import OpenAI
+from dotenv import load_dotenv
+import os
+
+# Load environment variables
+load_dotenv()
+
+# Initialize OpenAI client
+client = OpenAI(api_key=os.getenv("openai_api_key"))
+
+
+def translation_to_english(audio_file):
+    transcript = client.audio.translations.create(
+        model="whisper-1",
+        file=audio_file
+    )
+    return transcript.text
+

tts_module.py

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+from openai import OpenAI
+from dotenv import load_dotenv
+import os
+
+load_dotenv()
+
+client = OpenAI(api_key=os.getenv("openai_api_key"))
+
+def text_to_speech(text):
+    response = client.audio.speech.create(
+        model="tts-1",
+        voice="alloy",
+        input=text
+    )
+
+    return response.content