Delete app.py

app.py

@@ -1,81 +0,0 @@
-from gradio import Interface, File
-import requests
-import io
-import base64
-import json
-
-# Replace with your Google AI Studio API key
-API_KEY = "GOOGLE_API_KEY"
-project_id= "genai-test-396922"
-location= "us-central1" 
-model_id= "gemini-2.0-flash-exp"
-# Endpoint for Gemini 2.0 Text Generation (adapt if needed for specific multimodal endpoints)
-ENDPOINT = "https://aiplatform.googleapis.com/v1/projects/{project_id}/locations/{location}/models/{model_id}:textGenerate"
-
-def encode_file(file_obj, file_type):
-    """Encodes a file (image, video, or PDF) to base64."""
-    try:
-      if file_type == "pdf":
-        content = file_obj.read()
-      else:
-        content = file_obj.getvalue() # For images and videos
-      encoded_content = base64.b64encode(content).decode("utf-8")
-      return encoded_content
-    except Exception as e:
-        print(f"Error encoding file: {e}")
-        return None
-
-def generate_response(text_prompt, files):
-    """Handles multiple file inputs (images, videos, PDFs)."""
-    url = ENDPOINT.format(project_id=project_id, location=location, model_id=model_id)
-    headers = {"Authorization": f"Bearer {API_KEY}", "Content-Type": "application/json"}
-
-    inputs = [{"text": text_prompt}]
-    for file_data in files:
-        if file_data is None:
-            continue
-
-        file_path = file_data.name
-        file_type = file_path.split(".")[-1].lower()
-
-        try:
-            with open(file_path, "rb") as file_obj:
-                encoded_content = encode_file(file_obj, file_type)
-                if encoded_content:
-                    inputs.append({file_type: encoded_content}) # Use file type as key
-        except Exception as e:
-            return f"Error processing file {file_path}: {e}"
-
-    request_body = {"inputs": inputs}
-
-    try:
-        response = requests.post(url, headers=headers, json=request_body)
-        response.raise_for_status()  # Raise an exception for bad status codes (4xx or 5xx)
-        return response.json().get("generated_text", "No generated text found in response.") # Handle missing key
-
-    except requests.exceptions.RequestException as e:
-        if response is not None:
-            try:
-                error_message = response.json().get("error", {}).get("message", "Unknown error")
-            except json.JSONDecodeError:
-                error_message = response.text
-            return f"API Error: {response.status_code} - {error_message}"
-        else:
-            return f"Request Exception: {e}"
-    except Exception as e:
-        return f"An unexpected error occurred: {e}"
-
-
-# Define Gradio interface with multiple file input
-interface = Interface(
-    fn=generate_response,
-    inputs=[
-        "text",
-        [File(label="Upload Files (Images, Videos, PDFs)", file_types=[".png", ".jpg", ".jpeg", ".mp4", ".mov", ".pdf"], file_count="multiple")], # Multiple files
-    ],
-    outputs="text",
-    title="Multimodal Prompt with Gemini 2.0 (Experimental)",
-    description="Enter a text prompt and upload one or more files (images, videos, PDFs).",
-)
-
-interface.launch(share=True)