Update app.py

app.py

@@ -1,92 +1,42 @@
 import streamlit as st
-import os
 import requests
 from PIL import Image
 from io import BytesIO
 
-# Set up environment variables for API keys
-os.environ['CLIPDROP_API_KEY'] = '1143a102dbe21628248d4bb992b391a49dc058c584181ea72e17c2ccd49be9ca69ccf4a2b97fc82c89ff1029578abbea'
-os.environ['STABILITY_API_KEY'] = 'sk-GBmsWR78MmCSAWGkkC1CFgWgE6GPgV00pNLJlxlyZWyT3QQO'
-os.environ['REPLICATE_API_TOKEN'] = 'r8_Tm3LQMS81QaGXzzdGVRyUCOQ3cuNd1i1sJlqp'
+API_KEY = "1143a102dbe21628248d4bb992b391a49dc058c584181ea72e17c2ccd49be9ca69ccf4a2b97fc82c89ff1029578abbea"
+API_URL = "https://clipdrop-api.co/text-to-image/v1"
 
+def generate_image(prompt):
+    headers = {"x-api-key": API_KEY}
+    files = {"prompt": (None, prompt, "text/plain")}
 
-# Importing Replicate and Stability SDK libraries
-import replicate
-import stability_sdk.interfaces.gooseai.generation.generation_pb2 as generation
+    try:
+        response = requests.post(API_URL, files=files, headers=headers)
+        response.raise_for_status()
 
-def upscale_image(image_path):
-    # Open the image file
-    with open(image_path, "rb") as img_file:
-        # Run the GFPGAN model
-        output = replicate.run(
-            "tencentarc/gfpgan:9283608cc6b7be6b65a8e44983db012355fde4132009bf99d976b2f0896856a3",
-            input={"img": img_file, "version": "v1.4", "scale": 16}
-        )
-        
-        # The output is a URI of the processed image
-        # We will retrieve the image data and save it
-        response = requests.get(output)
-        img = Image.open(BytesIO(response.content))
+        # Get the generated image
+        image = Image.open(BytesIO(response.content))
 
-        return img
-
-def generate_and_upscale_image(prompt):
-    # Make a POST request to the ClipDrop text-to-image API
-    url = 'https://clipdrop-api.co/text-to-image/v1'
-    headers = {'x-api-key': os.environ['CLIPDROP_API_KEY']}
-    data = {'prompt': prompt}
-    response = requests.post(url, headers=headers, data=data)
-
-    if response.status_code == 200:
-        # Get the generated image from the response
-        img = Image.open(BytesIO(response.content))
-
-        # Upscale the generated image using the Stability API
-        upscale_api = replicate.StabilityInference(
-            key=os.environ['STABILITY_API_KEY'],
-            upscale_engine="stable-diffusion-x4-latent-upscaler"
-        )
-        upscale_responses = upscale_api.upscale(init_image=img)
-
-        if upscale_responses:
-            # Get the upscaled image from the response
-            upscaled_img = None
-            for resp in upscale_responses:
-                for artifact in resp.artifacts:
-                    if artifact.type == generation.ARTIFACT_IMAGE:
-                        upscaled_img = Image.open(BytesIO(artifact.binary))
-                        break
-                if upscaled_img:
-                    break
-            return upscaled_img
-        else:
-            st.error('Failed to upscale the image.')
-    else:
-        st.error('Failed to generate image from text prompt.')
+        return image
+    except requests.exceptions.RequestException as e:
+        st.error(f"Error occurred during image generation: {str(e)}")
+        return None
 
 def main():
-    st.title("Image Upscaling")
-    st.write("Upload an image or enter a text prompt to generate and upscale an image.")
+    st.title("Text-to-Image Generator")
 
-    uploaded_file = st.file_uploader("Choose an image...", type=["png", "jpg", "jpeg"])
-    text_prompt = st.text_input("Enter a text prompt:", max_chars=1000)
+    # Text prompt input
+    prompt = st.text_input("Enter a text prompt")
 
-    if uploaded_file is not None:
-        with open("temp_img.png", "wb") as f:
-            f.write(uploaded_file.getbuffer())
-        st.success("Uploaded image successfully!")
+    if prompt:
+        # Generate image when the "Generate Image" button is clicked
+        if st.button("Generate Image"):
+            st.write("Generating image...")
+            image = generate_image(prompt)
 
-        if st.button("Upscale Image"):
-            # Upscale the uploaded image using GFPGAN
-            img = upscale_image("temp_img.png")
-            st.image(img, caption='Upscaled Image (GFPGAN)', use_column_width=True)
+            if image:
+                # Display the generated image
+                st.image(image, caption="Generated Image", use_column_width=True)
 
-    elif text_prompt != "":
-        if st.button("Generate and Upscale"):
-            # Generate and upscale an image from the text prompt
-            img = generate_and_upscale_image(text_prompt)
-            if img:
-                st.image(img, caption='Generated and Upscaled Image', use_column_width=True)
-    
 if __name__ == "__main__":
     main()