Update app.py

app.py

@@ -1,99 +1,83 @@
 import os
-import sys
-import time
-
-import huggingface_hub
-
-from huggingface_hub.commands import HfFolder
-
-import transformers
-
-from transformers import pipeline
-
-import gradio as gr
-
-import tempfile
-
-from huggingface_hub import HfFolder
-
-def main():
-    # Get the user's idea
-    idea = input("What is your idea for an application? ")
-
-    # Generate the code for the application
-    code = gemmacode.generate(idea)
-
-    # Test the code
-    try:
-        transformers.pipeline("text-generation")(code)
-    except Exception as e:
-        print("The code failed to run:", e)
-        return
-
-    # Ensure the functionality of the application
-    try:
-        gr.Interface(fn=transformers.pipeline("text-generation"), inputs=gr.Textbox(), outputs=gr.Textbox()).launch()
-    except Exception as e:
-        print("The application failed to run:", e)
-        return
-
-    # Provide an embedded webapp demo of the user's idea implementation
-    try:
-        hf_folder = HfFolder(path=tempfile.mkdtemp())
-        hf_folder.save(code)
-        hf_folder.push_to_hub(repo_id="acecalisto3/gemmacode-demo", commit_message="Initial commit")
-        print(f"The demo is available at: https://huggingface.co/acecalisto3/gemmacode-demo")
-    except Exception as e:
-        print("The demo failed to launch:", e)
-        return
-
-    # Offer the option to rebuild or deploy
-    while True:
-        choice = input("Do you want to rebuild or deploy the application? (r/d/q) ")
-        if choice == "r":
-            # Rebuild the code
-            code = gemmacode.generate(idea)
-
-            # Test the code
-            try:
-                transformers.pipeline("text-generation")(code)
-            except Exception as e:
-                print("The code failed to run:", e)
-                return
-
-            # Ensure the functionality of the application
-            try:
-                gr.Interface(fn=transformers.pipeline("text-generation"), inputs=gr.Textbox(), outputs=gr.Textbox()).launch()
-            except Exception as e:
-                print("The application failed to run:", e)
-                return
-
-            # Provide an embedded webapp demo of the user's idea implementation
-            try:
-                hf_folder = HfFolder(path=tempfile.mkdtemp())
-                hf_folder.save(code)
-                hf_folder.push_to_hub(repo_id="acecalisto3/gemmacode-demo", commit_message="Initial commit")
-                print(f"The demo is available at: https://huggingface.co/acecalisto3/gemmacode-demo")
-            except Exception as e:
-                print("The demo failed to launch:", e)
-                return
-        elif choice == "d":
-            # Deploy the application
-            try:
-                api_token = os.environ["HF_TOKEN"]
-                hub = huggingface_hub.HfApi(api_token=api_token)
-                hub.create_repo(name="my-app", organization="my-org")
-                hf_folder = HfFolder(path=tempfile.mkdtemp())
-                hf_folder.save(code)
-                hf_folder.push_to_hub(repo_id="my-org/my-app", commit_message="Initial commit")
-                print("The application has been deployed to: https://huggingface.co/my-org/my-app")
-            except Exception as e:
-                print("The application failed to deploy:", e)
-                return
-        elif choice == "q":
-            break
-        else:
-            print("Invalid choice")
-
-if __name__ == "__main__":
-    main()
+import random
+import string
+from django.apps import AppConfig
+from django.conf import settings
+from jinja2 import Environment, FileSystemLoader
+import openai
+
+class AppNameConfig(AppConfig):
+    default_auto_field = 'django.db.models.BigAutoField'
+    name = 'app_name'
+
+    def ready(self):
+        # import models, functions, and libraries here
+        from . import models, functions, libraries
+
+        # idea-to-app logic
+        if settings.IDEA_TO_APP:
+            # generate a unique name for the new model
+            model_name = ''.join(random.choices(string.ascii_lowercase + string.digits, k=10))
+            # merge the selected models and functions here
+            # and save it as a new GGuf model
+            gguf_model = functions.merge_models(models.CodeModel, models.ImageModel, 'function1', 'function3')
+            # save the GGuf model under the unique name
+            gguf_model.save(model_name)
+            # return the merged model for preview/demo
+            settings.IDEA_TO_APP_PREVIEW = gguf_model
+
+requirements.txt:
+
+Django
+huggingface_models
+jinja2
+openai
+
+models.py:
+
+from django.db import models
+
+class CodeModel(models.Model):
+    name = models.CharField(max_length=100)
+    code = models.TextField()
+
+class ImageModel(models.Model):
+    name = models.CharField(max_length=100)
+    image = models.ImageField(upload_to='images/')
+
+functions.py:
+
+def merge_models(model1, model2, function1, function3):
+    # merge the selected models and functions here
+    model1_objects = model1.objects.all()
+    model2_objects = model2.objects.all()
+    merged_objects = []
+    for obj1 in model1_objects:
+        obj2 = model2_objects.filter(name=obj1.name).first()
+        if obj2:
+            merged_obj = {
+                'name': obj1.name,
+                'code': function1(obj1.code),
+                'image': function3(obj2.image),
+            }
+            merged_objects.append(merged_obj)
+    return merged_objects
+
+libraries.py:
+
+import openai
+import jinja2
+
+def function1(code):
+    # translate natural language to executable code here
+    # using the OpenAI API
+    openai.api_key = 'YOUR_OPENAI_API_KEY'
+    response = openai.Completion.create(
+        engine='code-davinci-002',
+        prompt=f'Translate this Python code to executable code: {code}',
+        temperature=0.5,
+        max_tokens=512,
+        top_p=1,
+        frequency_penalty=0.5,
+        presence_penalty=0,
+        stop=['