Update app.py

app.py

@@ -1,56 +1,49 @@
 from transformers import pipeline, set_seed
-import gradio as grad, random, re
+from flask import Flask, request, jsonify
+import random, re
 
+app = Flask(__name__)
 
+# Initialize the GPT-2 pipeline
 gpt2_pipe = pipeline('text-generation', model='Gustavosta/MagicPrompt-Stable-Diffusion', tokenizer='gpt2')
 with open("ideas.txt", "r") as f:
-    line = f.readlines()
+    lines = f.readlines()
 
-
-def generate(starting_text):
+def generate_prompt(starting_text):
     for count in range(4):
         seed = random.randint(100, 1000000)
         set_seed(seed)
 
+        # Choose a random line from the file if the input text is empty
         if starting_text == "":
-            starting_text: str = line[random.randrange(0, len(line))].replace("\n", "").lower().capitalize()
-            starting_text: str = re.sub(r"[,:\-–.!;?_]", '', starting_text)
-            print(starting_text)
-    
+            starting_text = lines[random.randrange(0, len(lines))].strip().lower().capitalize()
+            starting_text = re.sub(r"[,:\-–.!;?_]", '', starting_text)
+
+        # Generate text
         response = gpt2_pipe(starting_text, max_length=random.randint(60, 90), num_return_sequences=4)
         response_list = []
         for x in response:
             resp = x['generated_text'].strip()
-            if resp != starting_text and len(resp) > (len(starting_text) + 4) and resp.endswith((":", "-", "—")) is False:
-                response_list.append(resp+'\n')
-    
+            if resp != starting_text and len(resp) > (len(starting_text) + 4) and not resp.endswith((":", "-", "—")):
+                response_list.append(resp + '\n')
+
+        # Clean the generated text
         response_end = "\n".join(response_list)
-        response_end = re.sub('[^ ]+\.[^ ]+','', response_end)
+        response_end = re.sub(r'[^ ]+\.[^ ]+', '', response_end)  # Removes strings like 'abc.xyz'
         response_end = response_end.replace("<", "").replace(">", "")
 
-        if response_end != "":
+        if response_end:
             return response_end
         if count == 4:
             return response_end
 
+# Define the API endpoint
+@app.route('/', methods=['GET'])
+def generate_api():
+    starting_text = request.args.get('text', default="", type=str)
+    result = generate_prompt(starting_text)
+    return jsonify({"generated_text": result})
 
-txt = grad.Textbox(lines=1, label="Initial Text", placeholder="English Text here")
-out = grad.Textbox(lines=4, label="Generated Prompts")
-
-examples = []
-for x in range(8):
-    examples.append(line[random.randrange(0, len(line))].replace("\n", "").lower().capitalize())
-
-title = "Stable Diffusion Prompt Generator"
-description = 'This is a demo of the model series: "MagicPrompt", in this case, aimed at: Stable Diffusion. To use it, simply submit your text or click on one of the examples.<b><br><br>To learn more about the model, go to the link: https://huggingface.co/Gustavosta/MagicPrompt-Stable-Diffusion<br>'
-article = "<div><center><img src='https://visitor-badge.glitch.me/badge?page_id=_Stable_Diffusion' alt='visitor badge'></center></div>"
-
-grad.Interface(fn=generate,
-               inputs=txt,
-               outputs=out,
-               examples=examples,
-               title=title,
-               description=description,
-               article=article,
-               allow_flagging='never',
-               cache_examples=False).queue(concurrency_count=1, api_open=False).launch(show_api=False, show_error=True)
+if __name__ == '__main__':
+    # Run the Flask app on port 7860
+    app.run(host='0.0.0.0', port=7860)