Initial commit: upload app.py, requirements.txt, and README.md

README.md

@@ -1,13 +1,5 @@
----
-title: Minigpt4 Chat
-emoji: 🔥
-colorFrom: green
-colorTo: yellow
-sdk: gradio
-sdk_version: 5.36.2
-app_file: app.py
-pinned: false
-license: other
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# MiniGPT-4 Image + Text Chat (CPU-friendly)
+
+Upload an image and provide a prompt to get a caption or description.
+
+Powered by BLIP for CPU compatibility.

app.py

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+# app.py
+import os
+import torch
+import gradio as gr
+from PIL import Image
+from transformers import BlipProcessor, BlipForConditionalGeneration
+
+# Placeholder for MiniGPT-4 (use real model if you have GPU)
+class MiniGPT4:
+    def __init__(self):
+        self.device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
+        self.processor = BlipProcessor.from_pretrained("Salesforce/blip-image-captioning-base")
+        self.model = BlipForConditionalGeneration.from_pretrained("Salesforce/blip-image-captioning-base").to(self.device)
+
+    def chat(self, image, prompt=""):
+        if image is None:
+            return "Please upload an image."
+        inputs = self.processor(images=image, return_tensors="pt").to(self.device)
+        out = self.model.generate(**inputs, max_new_tokens=75)
+        caption = self.processor.decode(out[0], skip_special_tokens=True)
+        return f"{prompt}\n\nImage description: {caption}"
+
+# Initialize model
+minigpt4 = MiniGPT4()
+
+def respond(image, prompt):
+    return minigpt4.chat(image, prompt)
+
+demo = gr.Interface(
+    fn=respond,
+    inputs=[
+        gr.Image(type="pil", label="Upload an Image"),
+        gr.Textbox(lines=2, placeholder="Ask something about the image...", label="Your Prompt")
+    ],
+    outputs=gr.Textbox(label="MiniGPT-4 Response"),
+    title="MiniGPT-4 Chat (Image + Text)",
+    description="Upload an image and ask a question. The model will respond based on image and prompt."
+)
+
+if __name__ == "__main__":
+    demo.launch()

requirements.txt

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+torch
+transformers
+gradio
+Pillow