Create app.py

app.py

@@ -0,0 +1,79 @@
+import gradio as gr
+
+import pathlib
+import textwrap
+
+try:
+    import google.generativeai as genai
+except ImportError:
+    print("WARNING: google.generativeai not found. Install with `pip install google-generativeai` for AI-powered responses.")
+    genai = None
+
+from IPython.display import display  # Only for development/testing
+from IPython.display import Markdown  # Only for development/testing
+
+
+def to_markdown(text):
+    """Converts text to Markdown format with proper indentation.
+
+    Args:
+        text (str): The text to convert.
+
+    Returns:
+        str: The converted Markdown text.
+    """
+
+    text = text.replace('•', ' *')
+    return Markdown(textwrap.indent(text, '> ', predicate=lambda _: True))
+
+
+def chat(chat_history):
+    """Generates a response based on the chat history.
+
+    Args:
+        chat_history (list): A list containing user messages and AI responses.
+
+    Returns:
+        str: The AI's response to the latest user message.
+    """
+
+    if not genai:
+        return "AI responses are currently unavailable. Please install `google-generativeai` for this functionality."
+
+    user_message = chat_history[-1]  # Get the latest user message
+    try:
+        response = model.generate_content(user_message, stream=True)
+        for chunk in response:
+            return chunk.text  # Return the first generated text chunk
+    except Exception as e:
+        print(f"Error during generation: {e}")
+        return "An error occurred while generating the response. Please try again later."
+
+
+interface = gr.Interface(
+    fn=chat,
+    inputs="chat",
+    outputs="textbox",
+    title="Gradio Chat App",
+    description="Chat with an AI assistant (requires `google-generativeai`)",
+    catch_exceptions=True,  # Catch exceptions and display informative messages
+)
+
+interface.launch()
+
+# Code below is for development/testing purposes only (not required for Gradio app)
+if __name__ == "__main__":
+    if not genai:
+        print("WARNING: google.generativeai not found. Install with `pip install google-generativeai` for AI-powered responses.")
+
+    genai.configure(api_key='AIzaSyCMBk81YmILNTok8hd6tYtJaevp1qbl6I0')  # Replace with your actual API key
+    model = genai.GenerativeModel('gemini-pro')
+
+    chat_history = []
+    while True:
+        user_message = input("You: ")
+        chat_history.append(user_message)
+        response = chat(chat_history)
+        print(f"AI: {response}")
+        chat_history.append(response)
+        print("-" * 80)