Commit

app.py

@@ -21,6 +21,6 @@ if __name__ == "__main__":
     analyze_engagement()
 
     # Analyze an example image
-    image_url = "https://example.com/path/to/image.jpg"
+    image_url = "https://instagram.flos5-3.fna.fbcdn.net/v/t51.29350-15/461962570_446497237879604_125381930282480249_n.jpg?stp=dst-jpg_e15_tt6&efg=eyJ2ZW5jb2RlX3RhZyI6ImltYWdlX3VybGdlbi43MjB4MTI4MC5zZHIuZjI5MzUwLmRlZmF1bHRfY292ZXJfZnJhbWUifQ&_nc_ht=instagram.flos5-3.fna.fbcdn.net&_nc_cat=108&_nc_ohc=I22rbM-bFp4Q7kNvgEwCOwX&_nc_gid=22ddc0b11dfd44968a15fc79be74c9b9&edm=AEhyXUkBAAAA&ccb=7-5&ig_cache_key=MzQ3MjEwOTAyNDM0NzA1NTM4NzE3MjMxODMzOTg0NDgzOTg%3D.3-ccb7-5&oh=00_AYCYZr-aNIHjjQ86_HzvYiLDaExV26TEpndfIl9-rjyFcg&oe=678FAD53&_nc_sid=8f1549"
     caption = "This is a beautiful sunset!"
     analyze_image_url(image_url, caption)

models/engagement_rate_model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:aafaee190ed53d6859751ab011e123134648137afcf840f57ae58e8d1e97445a
+size 73122

models/promotion_strategy_model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1d9f980263c17b1c8f05732ede25d5235caf5138f8d00620d457762ae0da21ec
+size 1247

models/prophet_model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:359ea47c7383c48dcaee07b947b8c6ef4f77694a1f2d39dc194861eee9b3e84c
+size 178763

models/viral_potential_model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:497dd50e7db8b9b7419121babc96a01efd5fbdb35a365971a289f9bba7c8d784
+size 48185

scripts/train_engagement_rate.py

@@ -26,14 +26,3 @@ def train_engagement_rate():
 
     # Save the model locally
     joblib.dump(engagement_model, "engagement_rate_model.pkl")
-
-    # Upload the model to Hugging Face Hub
-    login(token=os.environ.get("HF_TOKEN"))  # Use your Hugging Face token
-    api = HfApi()
-    api.upload_file(
-        path_or_fileobj="engagement_rate_model.pkl",
-        path_in_repo="engagement_rate_model.pkl",
-        repo_id="Fred808/Insta-8084",  # Replace with your repo
-        repo_type="model",
-    )
-    print("Engagement Rate Model uploaded to Hugging Face Hub!")

scripts/train_promotion_strategy.py

@@ -29,14 +29,3 @@ def train_promotion_strategy():
 
     # Save the model locally
     joblib.dump(promotion_model, "promotion_strategy_model.pkl")
-
-    # Upload the model to Hugging Face Hub
-    login(token=os.environ.get("HF_TOKEN"))  # Use your Hugging Face token
-    api = HfApi()
-    api.upload_file(
-        path_or_fileobj="promotion_strategy_model.pkl",
-        path_in_repo="promotion_strategy_model.pkl",
-        repo_id="Fred808/Insta-8084",  # Replace with your repo
-        repo_type="model",
-    )
-    print("Promotion Strategy Model uploaded to Hugging Face Hub!")

scripts/train_time_series.py

@@ -22,14 +22,3 @@ def train_time_series():
 
     # Save the model locally
     joblib.dump(prophet_model, "prophet_model.pkl")
-
-    # Upload the model to Hugging Face Hub
-    login(token=os.environ.get("HF_TOKEN"))  # Use your Hugging Face token
-    api = HfApi()
-    api.upload_file(
-        path_or_fileobj="prophet_model.pkl",
-        path_in_repo="prophet_model.pkl",
-        repo_id="Fred808/Insta-8084",  # Replace with your repo
-        repo_type="model",
-    )
-    print("Prophet Model uploaded to Hugging Face Hub!")

scripts/train_viral_potential.py

@@ -29,14 +29,3 @@ def train_viral_potential():
 
     # Save the model locally
     joblib.dump(viral_model, "viral_potential_model.pkl")
-
-    # Upload the model to Hugging Face Hub
-    login(token=os.environ.get("HF_TOKEN"))  # Use your Hugging Face token
-    api = HfApi()
-    api.upload_file(
-        path_or_fileobj="viral_potential_model.pkl",
-        path_in_repo="viral_potential_model.pkl",
-        repo_id="Fred808/Viral-P234",  # Replace with your repo
-        repo_type="model",
-    )
-    print("Viral Potential Model uploaded to Hugging Face Hub!")