Delete app.py

app.py

@@ -1,80 +0,0 @@
-import os
-import time
-import gradio as gr
-import google.generativeai as genai
-from google.generativeai.types import Part
-
-# Configure Gemini API key
-genai.configure(api_key=os.environ["GEMINI_API_KEY"])
-
-def upload_to_gemini(filepath, mime_type):
-    """Uploads a file to Gemini and returns a Part object."""
-    file = genai.upload_file(filepath, mime_type=mime_type)
-    print(f"Uploaded file '{file.display_name}' with URI: {file.uri}")
-    return Part.from_uri(file.uri, mime_type=mime_type)
-
-def wait_for_files_active(files):
-    """Waits until all uploaded files are processed and active."""
-    print("Waiting for files to become active...")
-    for file in files:
-        while True:
-            status = genai.get_file(file.name)
-            if status.state.name == "ACTIVE":
-                break
-            elif status.state.name == "PROCESSING":
-                time.sleep(5)
-            else:
-                raise Exception(f"File {file.name} failed to process.")
-    print("All files are active.")
-
-def process_inputs(image, video, user_prompt):
-    """Processes the inputs and generates a response using Gemini API."""
-    parts = []
-
-    # Convert files to Part objects with mime types
-    if image:
-        image_part = upload_to_gemini(image, mime_type="image/png")
-        parts.append(image_part)
-
-    if video:
-        video_part = upload_to_gemini(video, mime_type="video/mp4")
-        parts.append(video_part)
-
-    # Add user prompt as a text Part
-    if user_prompt:
-        text_part = Part(text=user_prompt)
-        parts.append(text_part)
-
-    # Create the `contents` list
-    contents = parts
-
-    # Ensure files are processed
-    wait_for_files_active([p for p in parts if hasattr(p, "uri")])
-
-    # Initialize Gemini model and generate content
-    model = genai.GenerativeModel("gemini-2.0-flash-exp")
-    response = model.generate_content(contents=contents)
-
-    return response.text
-
-# Gradio Interface Setup
-with gr.Blocks() as demo:
-    gr.Markdown("## Multimodal Chat with Gemini API")
-
-    with gr.Row():
-        video_input = gr.Video(label="Upload a Video")
-        image_input = gr.Image(label="Upload an Image")
-
-    user_prompt = gr.Textbox(label="Your Prompt", placeholder="Enter your question here...")
-
-    submit_button = gr.Button("Submit")
-    output = gr.Textbox(label="Gemini AI Response", interactive=False)
-
-    submit_button.click(
-        fn=process_inputs,
-        inputs=[image_input, video_input, user_prompt],
-        outputs=output
-    )
-
-# Run the Gradio App
-demo.launch()